{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def plot_estimator(estimator, X, y, title):\n",
    "    x_min, x_max = X[:, 0].min() - 1, X[:, 0].max() + 1\n",
    "    y_min, y_max = X[:, 1].min() - 1, X[:, 1].max() + 1\n",
    "    xx, yy = np.meshgrid(np.arange(x_min, x_max, 0.1),\n",
    "                         np.arange(y_min, y_max, 0.1))\n",
    "\n",
    "    Z = estimator.predict(np.c_[xx.ravel(), yy.ravel()])\n",
    "    Z = Z.reshape(xx.shape)\n",
    "\n",
    "    plt.plot()\n",
    "    plt.contourf(xx, yy, Z, alpha=0.4, cmap = plt.cm.RdYlBu)\n",
    "    plt.scatter(X[:, 0], X[:, 1], c=y,  cmap = plt.cm.brg)\n",
    "    plt.title(title)\n",
    "    plt.xlabel('Sepal.Length')\n",
    "    plt.ylabel('Sepal.Width')\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "from sklearn.datasets import load_iris\n",
    "from sklearn.svm import SVC\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "iris = load_iris()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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2VYVg69ov9qDK5aKMLvDLPDjvOqgIjVMehBffhpJSmPy3mFOLbVu4JucUyq3m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\nGGOiLCkYY4yJsqRgjDEmypKCMcaYqP8H6J4nnIml96gAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xa4e0d30>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "X = iris.data[:,[0,1]]\n",
    "y = iris.target\n",
    "\n",
    "clf = RandomForestClassifier(n_estimators=100, criterion=\"entropy\", random_state=0)\n",
    "clf.fit(X, y)\n",
    "plot_estimator(clf, X, y, 'RandomForestClassifier')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "       0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
       "       1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1,\n",
       "       1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,\n",
       "       2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,\n",
       "       2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2])"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "clf.predict(iris.data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,\n",
       "          intercept_scaling=1, max_iter=100, multi_class='ovr', n_jobs=1,\n",
       "          penalty='l2', random_state=None, solver='liblinear', tol=0.0001,\n",
       "          verbose=0, warm_start=False)"
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.svm import SVC\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "\n",
    "X = iris.data[:,[0,1]]\n",
    "y = iris.target\n",
    "\n",
    "clf1 = SVC(kernel=\"rbf\")\n",
    "clf1.fit(X, y)\n",
    "\n",
    "clf2 = DecisionTreeClassifier()\n",
    "clf2.fit(X, y)\n",
    "\n",
    "clf3 = RandomForestClassifier(n_estimators=10, criterion=\"entropy\")\n",
    "clf3.fit(X, y)\n",
    "\n",
    "clf4 = LogisticRegression()\n",
    "clf4.fit(X, y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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eyZLMmeZETkDIEeAf3f7Mz82+qJfxFQcftaa5iFkuuteuT2MnxFNpLvYvHn6n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\nlwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xaabb4a8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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ig4iMIomZglJqrlKqg1KqrVJqsFJqjlLqw4hCQCl1olKqlVKqo1LqhZrfgqYq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\nSUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xa9d9400>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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sT5uHYQkStASYn/Udtw4/nSDNG62t0dRFvUohZCZyhMxHTwIXA24gE7gNuGNP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\nH2Hp0B5+jU+nUVesnkDC5bC5mxV2vx2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XrhOBBpqwq8JnX8FbH7hhnZ+dUX8LzaYa3M9N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\nGhzCr9RupksAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xab481d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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/5sJZWubmnteGkOIKMvawxPn7pz/pw7MT+xA99TNjWT6n3DuGSQ8kfiyba5LS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\nYIwxJu7/AR3zhPKZE8ZZAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xad33d30>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_estimator(clf1, X, y, 'rbf')\n",
    "plot_estimator(clf2, X, y, 'DecisionTreeClassifier')\n",
    "plot_estimator(clf3, X, y, 'RandomForestClassifier')\n",
    "plot_estimator(clf4, X, y, 'LogisticRegression')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
